# Generated 2023-06-24 from:
# /netscratch/sagar/thesis/speechbrain/recipes/RescueSpeech/Enhancement/joint-training/transformers/hparams/robust_asr_16k.yaml
# yamllint disable
# Model: wav2vec2 + DNN + CTC
# Augmentation: SpecAugment
# Authors: Sangeet Sagar 2023
# ################################

## Model parameters
sample_rate: 16000

# Decoding parameters
min_decode_ratio: 0.0
max_decode_ratio: 1.0
test_beam_size: 8

num_spks: 1

# Enhancement model
Encoder: &id004 !new:speechbrain.lobes.models.dual_path.Encoder
  kernel_size: 16
  out_channels: 256

SBtfintra: &id001 !new:speechbrain.lobes.models.dual_path.SBTransformerBlock
  num_layers: 8
  d_model: 256
  nhead: 8
  d_ffn: 1024
  dropout: 0
  use_positional_encoding: true
  norm_before: true

SBtfinter: &id002 !new:speechbrain.lobes.models.dual_path.SBTransformerBlock
  num_layers: 8
  d_model: 256
  nhead: 8
  d_ffn: 1024
  dropout: 0
  use_positional_encoding: true
  norm_before: true

MaskNet: &id005 !new:speechbrain.lobes.models.dual_path.Dual_Path_Model
  num_spks: 1
  in_channels: 256
  out_channels: 256
  num_layers: 2
  K: 250
  intra_model: *id001
  inter_model: *id002
  norm: ln
  linear_layer_after_inter_intra: false
  skip_around_intra: true

# Whisper ASR and its decoder
Decoder: &id006 !new:speechbrain.lobes.models.dual_path.Decoder
  in_channels: 256
  out_channels: 1
  kernel_size: 16
  stride: 8
  bias: false

# Change the path to use a local model instead of the remote one
pretrainer: !new:speechbrain.utils.parameter_transfer.Pretrainer
  loadables:
    encoder: !ref <Encoder>
    masknet: !ref <MaskNet>
    decoder: !ref <Decoder>

modules:
  encoder: *id004
  masknet: *id005
  decoder: *id006